{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a63c0e19-3902-44ee-9b02-ba7ecfdb5268",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files already downloaded and verified\n",
      "Files already downloaded and verified\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "crab  lobster table train leopard tulip bridge beetle camel orange aquarium_fish rocket cloud lamp  rose  clock television dolphin sea   ray   forest possum camel lobster sunflower baby  aquarium_fish porcupine spider bridge beetle sea   shrew table bridge flatfish porcupine road  streetcar beaver shrew shark skunk rose  aquarium_fish ray   hamster skunk woman wardrobe bicycle squirrel cloud skunk can   snake caterpillar bicycle keyboard porcupine bed   bottle lizard lizard kangaroo bottle cup   cup   possum clock lobster turtle streetcar pear  bear  crocodile woman otter dinosaur orchid hamster chimpanzee couch chimpanzee pickup_truck castle sunflower train aquarium_fish pine_tree bottle mountain castle tank  leopard boy   elephant beetle butterfly spider mushroom skyscraper bed   orchid pine_tree dolphin tiger plain worm  lamp  beetle seal  kangaroo forest road  turtle clock woman porcupine clock castle bee   worm  rocket otter castle bicycle ray  \n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "import torchvision\n",
    "import torchvision.transforms as transforms\n",
    "from useful_tools import *\n",
    "import torch.optim as optim\n",
    "import torch.nn as nn\n",
    "from torch.nn import functional as F\n",
    "from chao_kk import *\n",
    "from torch.optim import lr_scheduler\n",
    "\n",
    "\n",
    "batch_size = 128\n",
    "trainloader, testloader, classes = get_dataLoader_RandAugment(batch_size)\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "def imshow(img):\n",
    "    img = img / 2 + 0.5     # unnormalize\n",
    "    npimg = img.numpy()\n",
    "    plt.imshow(np.transpose(npimg, (1, 2, 0)))\n",
    "    plt.show()\n",
    "dataiter = iter(trainloader)\n",
    "images, labels = next(dataiter)\n",
    "imshow(torchvision.utils.make_grid(images))\n",
    "print(' '.join(f'{classes[labels[j]]:5s}' for j in range(batch_size)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0a20afd9-e695-4f86-b63b-3c0806770d13",
   "metadata": {},
   "outputs": [],
   "source": [
    "def padding_size(dilation, kernel_size):\n",
    "  return dilation * (kernel_size - 1) // 2\n",
    "\n",
    "def conv3x3(in_channel, out_channel, stride, dilation = 1):\n",
    "  return nn.Conv2d(in_channel, out_channel, kernel_size = 3, stride = stride, padding = padding_size(dilation, 3), bias = False, dilation = dilation)\n",
    "\n",
    "def conv1x1(in_channel, out_channel, stride = 1, dilation = 1):\n",
    "  return nn.Conv2d(in_channel, out_channel, kernel_size = 1, stride = stride, padding = 0, bias = False, dilation = dilation)\n",
    "\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8a1eb695-87a9-4d22-a3f7-b19a22baf1e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "class ResBlock(nn.Module):\n",
    "  def __init__(self, in_channel, base_channel, stride, downsample = None, dilation = 1):\n",
    "    super(ResBlock, self).__init__()\n",
    "    self.conv1 = conv1x1(in_channel, base_channel, 1, 1)\n",
    "    self.bn1 = nn.BatchNorm2d(base_channel)\n",
    "    self.conv2 = conv3x3(base_channel, base_channel, stride, dilation)\n",
    "    self.bn2 = nn.BatchNorm2d(base_channel)\n",
    "    self.conv3= conv1x1(base_channel, base_channel * 4, 1, 1)\n",
    "    self.bn3 = nn.BatchNorm2d(base_channel * 4)\n",
    "    self.relu = nn.ReLU()\n",
    "    self.downsample = downsample\n",
    "\n",
    "  def forward(self, x):\n",
    "    shortcut = x\n",
    "    x = self.conv1(x)\n",
    "    x = self.bn1(x)\n",
    "    x = self.relu(x)\n",
    "    x = self.conv2(x)\n",
    "    x = self.bn2(x)\n",
    "    x = self.relu(x)\n",
    "    x = self.conv3(x)\n",
    "    x = self.bn3(x)\n",
    "    if self.downsample != None:\n",
    "      shortcut = self.downsample(shortcut)\n",
    "    x += shortcut\n",
    "    x = self.relu(x)\n",
    "    return x\n",
    "\n",
    "class ResNet(nn.Module):\n",
    "  def __init__(self, classes, base_channel = 64):\n",
    "    super(ResNet, self).__init__()\n",
    "    # 老实说，我怕64、128……512通道实在是太慢了，通过base_channel来调节通道。感觉可以设置为16\n",
    "    self.base_channel = base_channel\n",
    "    self.conv1 = conv3x3(3, base_channel, 1)\n",
    "    self.bn = nn.BatchNorm2d(base_channel)\n",
    "    self.relu = nn.ReLU()\n",
    "    self.tanh = nn.Tanh()\n",
    "    self.max_pool = nn.MaxPool2d(kernel_size = 2, stride = 2)\n",
    "    self.conv2_x = self.init_ResBlock(base_channel * 1, base_channel * 1, stride = 1, block_num = 3, dilation = 1)\n",
    "    self.conv3_x = self.init_ResBlock(base_channel * 4, base_channel * 2, stride = 2, block_num = 4, dilation = 1)\n",
    "    self.conv4_x = self.init_ResBlock(base_channel * 8, base_channel * 4, stride = 2, block_num = 6, dilation = 1)\n",
    "    self.conv5_x = self.init_ResBlock(base_channel * 16, base_channel * 8, stride = 2, block_num = 3, dilation = 1)\n",
    "    self.avg = nn.AvgPool2d(kernel_size = 2, stride = 2)\n",
    "    self.fc1 = nn.Linear(base_channel * 8 * 4 * 4, len(classes))\n",
    "    #self.fc1 = nn.Linear(base_channel * 8 * 4 * 4, base_channel * 8 * 4 * 1)\n",
    "    # self.fc2 = nn.Linear(base_channel * 8 * 4 * 1, base_channel * 8 * 1)\n",
    "    # self.fc3 = nn.Linear(base_channel * 8 * 1, len(classes))\n",
    "    self.dropout = nn.Dropout(0.01)\n",
    "\n",
    "  def forward(self, x):\n",
    "    x = self.conv1(x)\n",
    "    x = self.bn(x)\n",
    "    x = self.relu(x)\n",
    "    x = self.conv2_x(x)\n",
    "    x = self.conv3_x(x)\n",
    "    x = self.conv4_x(x)\n",
    "    x = self.conv5_x(x)\n",
    "    x = self.avg(x)\n",
    "    x = x.view(x.size(0), -1)\n",
    "    x = self.fc1(x)\n",
    "    # x = self.tanh(x)\n",
    "    # x = self.fc2(x)\n",
    "    # x = self.tanh(x)\n",
    "    # x = self.fc3(x)\n",
    "    x = self.dropout(x)\n",
    "    return x\n",
    "\n",
    "  def init_ResBlock(self, in_channel, base_channel, stride, block_num, dilation):\n",
    "    downsample = None #这个好东西是用来把特征图宽高缩小的\n",
    "    out_channel = base_channel * 4\n",
    "    if stride != 1 or in_channel != out_channel:\n",
    "      # 对于3*3的padding为1的卷积核，如果stride为1的话卷完后特征图宽高是不变的。\n",
    "      # 如果stride是2的话，那么宽高会变成原来的一半。\n",
    "      # 计算：out = (in/2 - 1/2)向下取整 + 1， 也就是in/2 - 1 + 1 = in / 2\n",
    "      downsample = nn.Sequential(\n",
    "                conv3x3(in_channel, out_channel, stride=stride),\n",
    "                nn.BatchNorm2d(out_channel)\n",
    "                )\n",
    "    return nn.Sequential(*[\n",
    "        ResBlock(in_channel, base_channel, stride, downsample = downsample, dilation = dilation) if i == 0 else\n",
    "        ResBlock(out_channel, base_channel, 1, dilation = dilation)\n",
    "        for i in range(block_num)\n",
    "    ])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1fc55884-0a41-46af-bbb8-bcc55be86d47",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cuda\n"
     ]
    }
   ],
   "source": [
    "net = ResNet(classes = classes, base_channel = 64).to(device)\n",
    "criterion = nn.CrossEntropyLoss()\n",
    "optimizer = optim.SGD(net.parameters(), lr=0.01, momentum=0.9)\n",
    "#optimizer = optim.Adam(net.parameters(), lr=0.001)\n",
    "print(device)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "48493633-6b18-408a-a0cd-b770da9f40b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "第 0/24 轮训练\n",
      "----------\n",
      "train 损失: 4.7034 Top-1 准确率: 0.0354 Top-5 准确率: 0.1355\n",
      "val 损失: 4.7647 Top-1 准确率: 0.0337 Top-5 准确率: 0.1527\n",
      "\n",
      "第 1/24 轮训练\n",
      "----------\n",
      "train 损失: 4.0030 Top-1 准确率: 0.0884 Top-5 准确率: 0.2764\n",
      "val 损失: 4.3019 Top-1 准确率: 0.0755 Top-5 准确率: 0.2365\n",
      "\n",
      "第 2/24 轮训练\n",
      "----------\n",
      "train 损失: 3.7406 Top-1 准确率: 0.1320 Top-5 准确率: 0.3599\n",
      "val 损失: 4.3615 Top-1 准确率: 0.0748 Top-5 准确率: 0.2367\n",
      "\n",
      "第 3/24 轮训练\n",
      "----------\n",
      "train 损失: 3.5384 Top-1 准确率: 0.1642 Top-5 准确率: 0.4129\n",
      "val 损失: 3.8198 Top-1 准确率: 0.1484 Top-5 准确率: 0.3707\n",
      "\n",
      "第 4/24 轮训练\n",
      "----------\n",
      "train 损失: 3.3423 Top-1 准确率: 0.2002 Top-5 准确率: 0.4683\n",
      "val 损失: 3.6506 Top-1 准确率: 0.1622 Top-5 准确率: 0.4112\n",
      "\n",
      "第 5/24 轮训练\n",
      "----------\n",
      "train 损失: 3.1456 Top-1 准确率: 0.2368 Top-5 准确率: 0.5201\n",
      "val 损失: 3.1698 Top-1 准确率: 0.2348 Top-5 准确率: 0.5068\n",
      "\n",
      "第 6/24 轮训练\n",
      "----------\n",
      "train 损失: 2.9387 Top-1 准确率: 0.2748 Top-5 准确率: 0.5716\n",
      "val 损失: 3.2775 Top-1 准确率: 0.2316 Top-5 准确率: 0.4943\n",
      "\n",
      "第 7/24 轮训练\n",
      "----------\n",
      "train 损失: 2.7308 Top-1 准确率: 0.3178 Top-5 准确率: 0.6185\n",
      "val 损失: 2.9941 Top-1 准确率: 0.2766 Top-5 准确率: 0.5689\n",
      "\n",
      "第 8/24 轮训练\n",
      "----------\n",
      "train 损失: 2.5420 Top-1 准确率: 0.3539 Top-5 准确率: 0.6614\n",
      "val 损失: 2.6512 Top-1 准确率: 0.3357 Top-5 准确率: 0.6354\n",
      "\n",
      "第 9/24 轮训练\n",
      "----------\n",
      "train 损失: 2.3977 Top-1 准确率: 0.3826 Top-5 准确率: 0.6909\n",
      "val 损失: 3.6271 Top-1 准确率: 0.3128 Top-5 准确率: 0.6028\n",
      "\n",
      "第 10/24 轮训练\n",
      "----------\n",
      "train 损失: 2.2558 Top-1 准确率: 0.4130 Top-5 准确率: 0.7208\n",
      "val 损失: 2.7288 Top-1 准确率: 0.3341 Top-5 准确率: 0.6267\n",
      "\n",
      "第 11/24 轮训练\n",
      "----------\n",
      "train 损失: 2.1124 Top-1 准确率: 0.4444 Top-5 准确率: 0.7492\n",
      "val 损失: 2.3257 Top-1 准确率: 0.4242 Top-5 准确率: 0.7251\n",
      "\n",
      "第 12/24 轮训练\n",
      "----------\n",
      "train 损失: 1.9906 Top-1 准确率: 0.4721 Top-5 准确率: 0.7715\n",
      "val 损失: 2.3678 Top-1 准确率: 0.4017 Top-5 准确率: 0.7045\n",
      "\n",
      "第 13/24 轮训练\n",
      "----------\n",
      "train 损失: 1.8902 Top-1 准确率: 0.4952 Top-5 准确率: 0.7912\n",
      "val 损失: 2.3994 Top-1 准确率: 0.4109 Top-5 准确率: 0.7060\n",
      "\n",
      "第 14/24 轮训练\n",
      "----------\n",
      "train 损失: 1.7765 Top-1 准确率: 0.5219 Top-5 准确率: 0.8109\n",
      "val 损失: 1.9883 Top-1 准确率: 0.4788 Top-5 准确率: 0.7777\n",
      "\n",
      "第 15/24 轮训练\n",
      "----------\n",
      "train 损失: 1.6899 Top-1 准确率: 0.5420 Top-5 准确率: 0.8239\n",
      "val 损失: 2.1142 Top-1 准确率: 0.4570 Top-5 准确率: 0.7536\n",
      "\n",
      "第 16/24 轮训练\n",
      "----------\n",
      "train 损失: 1.6278 Top-1 准确率: 0.5557 Top-5 准确率: 0.8344\n",
      "val 损失: 1.8633 Top-1 准确率: 0.5140 Top-5 准确率: 0.7946\n",
      "\n",
      "第 17/24 轮训练\n",
      "----------\n",
      "train 损失: 1.5508 Top-1 准确率: 0.5743 Top-5 准确率: 0.8474\n",
      "val 损失: 1.8845 Top-1 准确率: 0.5113 Top-5 准确率: 0.7928\n",
      "\n",
      "第 18/24 轮训练\n",
      "----------\n",
      "train 损失: 1.4655 Top-1 准确率: 0.5943 Top-5 准确率: 0.8617\n",
      "val 损失: 1.9276 Top-1 准确率: 0.5057 Top-5 准确率: 0.8005\n",
      "\n",
      "第 19/24 轮训练\n",
      "----------\n",
      "train 损失: 1.4122 Top-1 准确率: 0.6052 Top-5 准确率: 0.8707\n",
      "val 损失: 1.8162 Top-1 准确率: 0.5271 Top-5 准确率: 0.8186\n",
      "\n",
      "第 20/24 轮训练\n",
      "----------\n",
      "train 损失: 1.3411 Top-1 准确率: 0.6252 Top-5 准确率: 0.8800\n",
      "val 损失: 1.7189 Top-1 准确率: 0.5527 Top-5 准确率: 0.8323\n",
      "\n",
      "第 21/24 轮训练\n",
      "----------\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[10], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m#loss_record, net = train(trainloader, net, optimizer, criterion, device, epoch_num = 10, save_model = False, testloader = testloader)\u001b[39;00m\n\u001b[1;32m      2\u001b[0m scheduler \u001b[38;5;241m=\u001b[39m lr_scheduler\u001b[38;5;241m.\u001b[39mStepLR(optimizer, step_size\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m50\u001b[39m, gamma\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.1\u001b[39m)\n\u001b[0;32m----> 3\u001b[0m net, (train_losses, train_top1_accs, train_top5_accs, val_losses, val_top1_accs, val_top5_accs) \u001b[38;5;241m=\u001b[39m \u001b[43mtrain_model\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtrainloader\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnet\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcriterion\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moptimizer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdevice\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mscheduler\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnum_epochs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m25\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtestloader\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mtestloader\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/deep-learning/FuTong/chao_kk.py:111\u001b[0m, in \u001b[0;36mtrain_model\u001b[0;34m(trainloader, model, criterion, optimizer, device, scheduler, num_epochs, testloader)\u001b[0m\n\u001b[1;32m    108\u001b[0m         optimizer\u001b[38;5;241m.\u001b[39mstep()\n\u001b[1;32m    110\u001b[0m \u001b[38;5;66;03m# 统计\u001b[39;00m\n\u001b[0;32m--> 111\u001b[0m running_loss \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[43mloss\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mitem\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;241m*\u001b[39m inputs\u001b[38;5;241m.\u001b[39msize(\u001b[38;5;241m0\u001b[39m)\n\u001b[1;32m    112\u001b[0m running_corrects \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m top1_correct\n\u001b[1;32m    113\u001b[0m running_top1_corrects \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m top1_correct\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "#loss_record, net = train(trainloader, net, optimizer, criterion, device, epoch_num = 10, save_model = False, testloader = testloader)\n",
    "scheduler = lr_scheduler.StepLR(optimizer, step_size=50, gamma=0.1)\n",
    "net, (train_losses, train_top1_accs, train_top5_accs, val_losses, val_top1_accs, val_top5_accs) = train_model(trainloader, net, criterion, optimizer, device, scheduler, num_epochs=25, testloader = testloader)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "de27fec9-b423-4c34-801b-cdbd8b900ee8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5b42cfa9-4d57-40fd-8d22-928dc18efdbf",
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_cpu_numpy(tensor):\n",
    "    return tensor.cpu().numpy()\n",
    "def to_cpu(list_):\n",
    "    if isinstance(list_, list):\n",
    "        return list(map(to_cpu_numpy,list_))\n",
    "    else:\n",
    "        return to_cpu_numpy(list_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "aee71f6c-d1e2-47b1-9a2a-2846eb96134d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 35757 (\\N{CJK UNIFIED IDEOGRAPH-8BAD}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 32451 (\\N{CJK UNIFIED IDEOGRAPH-7EC3}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 39564 (\\N{CJK UNIFIED IDEOGRAPH-9A8C}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 35777 (\\N{CJK UNIFIED IDEOGRAPH-8BC1}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 25439 (\\N{CJK UNIFIED IDEOGRAPH-635F}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 22833 (\\N{CJK UNIFIED IDEOGRAPH-5931}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 26354 (\\N{CJK UNIFIED IDEOGRAPH-66F2}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 20934 (\\N{CJK UNIFIED IDEOGRAPH-51C6}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 30830 (\\N{CJK UNIFIED IDEOGRAPH-786E}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 29575 (\\N{CJK UNIFIED IDEOGRAPH-7387}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 35757 (\\N{CJK UNIFIED IDEOGRAPH-8BAD}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 32451 (\\N{CJK UNIFIED IDEOGRAPH-7EC3}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 39564 (\\N{CJK UNIFIED IDEOGRAPH-9A8C}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 35777 (\\N{CJK UNIFIED IDEOGRAPH-8BC1}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 25439 (\\N{CJK UNIFIED IDEOGRAPH-635F}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 22833 (\\N{CJK UNIFIED IDEOGRAPH-5931}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 26354 (\\N{CJK UNIFIED IDEOGRAPH-66F2}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 20934 (\\N{CJK UNIFIED IDEOGRAPH-51C6}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 30830 (\\N{CJK UNIFIED IDEOGRAPH-786E}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 29575 (\\N{CJK UNIFIED IDEOGRAPH-7387}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_training_results(train_losses, to_cpu(train_top1_accs), to_cpu(train_top5_accs), val_losses, to_cpu(val_top1_accs), to_cpu(val_top5_accs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b06a3b9d-c02f-4707-8d10-1d87a5a8a9ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "with open('baseline.pkl', 'wb') as f:\n",
    "    pickle.dump([\n",
    "        net, (train_losses, train_top1_accs, train_top5_accs, val_losses, val_top1_accs, val_top5_accs)\n",
    "    ], f)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3012910e-a28e-4def-872d-6a46d9e72b64",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1a35b13b-2d28-458b-8b67-27cd3adeaeb3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6515a9de-44af-4c74-8b34-8e1b7d514b86",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5612\n",
      "Accuracy for class: apple is 78.0 %\n",
      "Accuracy for class: aquarium_fish is 68.0 %\n",
      "Accuracy for class: baby  is 42.0 %\n",
      "Accuracy for class: bear  is 26.0 %\n",
      "Accuracy for class: beaver is 38.0 %\n",
      "Accuracy for class: bed   is 51.0 %\n",
      "Accuracy for class: bee   is 61.0 %\n",
      "Accuracy for class: beetle is 59.0 %\n",
      "Accuracy for class: bicycle is 69.0 %\n",
      "Accuracy for class: bottle is 67.0 %\n",
      "Accuracy for class: bowl  is 45.0 %\n",
      "Accuracy for class: boy   is 36.0 %\n",
      "Accuracy for class: bridge is 61.0 %\n",
      "Accuracy for class: bus   is 45.0 %\n",
      "Accuracy for class: butterfly is 49.0 %\n",
      "Accuracy for class: camel is 51.0 %\n",
      "Accuracy for class: can   is 55.0 %\n",
      "Accuracy for class: castle is 79.0 %\n",
      "Accuracy for class: caterpillar is 54.0 %\n",
      "Accuracy for class: cattle is 43.0 %\n",
      "Accuracy for class: chair is 80.0 %\n",
      "Accuracy for class: chimpanzee is 72.0 %\n",
      "Accuracy for class: clock is 50.0 %\n",
      "Accuracy for class: cloud is 77.0 %\n",
      "Accuracy for class: cockroach is 72.0 %\n",
      "Accuracy for class: couch is 47.0 %\n",
      "Accuracy for class: crab  is 54.0 %\n",
      "Accuracy for class: crocodile is 39.0 %\n",
      "Accuracy for class: cup   is 76.0 %\n",
      "Accuracy for class: dinosaur is 55.0 %\n",
      "Accuracy for class: dolphin is 59.0 %\n",
      "Accuracy for class: elephant is 52.0 %\n",
      "Accuracy for class: flatfish is 39.0 %\n",
      "Accuracy for class: forest is 49.0 %\n",
      "Accuracy for class: fox   is 54.0 %\n",
      "Accuracy for class: girl  is 34.0 %\n",
      "Accuracy for class: hamster is 53.0 %\n",
      "Accuracy for class: house is 56.0 %\n",
      "Accuracy for class: kangaroo is 42.0 %\n",
      "Accuracy for class: keyboard is 64.0 %\n",
      "Accuracy for class: lamp  is 48.0 %\n",
      "Accuracy for class: lawn_mower is 76.0 %\n",
      "Accuracy for class: leopard is 60.0 %\n",
      "Accuracy for class: lion  is 64.0 %\n",
      "Accuracy for class: lizard is 28.0 %\n",
      "Accuracy for class: lobster is 30.0 %\n",
      "Accuracy for class: man   is 27.0 %\n",
      "Accuracy for class: maple_tree is 56.0 %\n",
      "Accuracy for class: motorcycle is 87.0 %\n",
      "Accuracy for class: mountain is 75.0 %\n",
      "Accuracy for class: mouse is 37.0 %\n",
      "Accuracy for class: mushroom is 54.0 %\n",
      "Accuracy for class: oak_tree is 66.0 %\n",
      "Accuracy for class: orange is 86.0 %\n",
      "Accuracy for class: orchid is 69.0 %\n",
      "Accuracy for class: otter is 28.0 %\n",
      "Accuracy for class: palm_tree is 77.0 %\n",
      "Accuracy for class: pear  is 61.0 %\n",
      "Accuracy for class: pickup_truck is 64.0 %\n",
      "Accuracy for class: pine_tree is 61.0 %\n",
      "Accuracy for class: plain is 85.0 %\n",
      "Accuracy for class: plate is 61.0 %\n",
      "Accuracy for class: poppy is 64.0 %\n",
      "Accuracy for class: porcupine is 52.0 %\n",
      "Accuracy for class: possum is 36.0 %\n",
      "Accuracy for class: rabbit is 35.0 %\n",
      "Accuracy for class: raccoon is 56.0 %\n",
      "Accuracy for class: ray   is 40.0 %\n",
      "Accuracy for class: road  is 83.0 %\n",
      "Accuracy for class: rocket is 76.0 %\n",
      "Accuracy for class: rose  is 56.0 %\n",
      "Accuracy for class: sea   is 71.0 %\n",
      "Accuracy for class: seal  is 19.0 %\n",
      "Accuracy for class: shark is 48.0 %\n",
      "Accuracy for class: shrew is 43.0 %\n",
      "Accuracy for class: skunk is 71.0 %\n",
      "Accuracy for class: skyscraper is 78.0 %\n",
      "Accuracy for class: snail is 39.0 %\n",
      "Accuracy for class: snake is 52.0 %\n",
      "Accuracy for class: spider is 61.0 %\n",
      "Accuracy for class: squirrel is 29.0 %\n",
      "Accuracy for class: streetcar is 64.0 %\n",
      "Accuracy for class: sunflower is 79.0 %\n",
      "Accuracy for class: sweet_pepper is 48.0 %\n",
      "Accuracy for class: table is 48.0 %\n",
      "Accuracy for class: tank  is 70.0 %\n",
      "Accuracy for class: telephone is 62.0 %\n",
      "Accuracy for class: television is 67.0 %\n",
      "Accuracy for class: tiger is 62.0 %\n",
      "Accuracy for class: tractor is 64.0 %\n",
      "Accuracy for class: train is 61.0 %\n",
      "Accuracy for class: trout is 73.0 %\n",
      "Accuracy for class: tulip is 47.0 %\n",
      "Accuracy for class: turtle is 26.0 %\n",
      "Accuracy for class: wardrobe is 83.0 %\n",
      "Accuracy for class: whale is 62.0 %\n",
      "Accuracy for class: willow_tree is 44.0 %\n",
      "Accuracy for class: wolf  is 55.0 %\n",
      "Accuracy for class: woman is 29.0 %\n",
      "Accuracy for class: worm  is 58.0 %\n"
     ]
    }
   ],
   "source": [
    "show_all_class_acc(classes, testloader, net, device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "37015137-6e99-4720-aaa0-1146bb2f4e09",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f3e6bcd8-be18-43cf-afe4-4a35930a24cc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
